Course syllabus
Welcome to the MVE510 - Introduction to bioinformatics. This is the course home page and contains all the information you need to participate and complete the course.
The course will this year be held online and no physical lectures or computer exercises will be held at the Chalmers campus. More information about the course will soon be available.
Teachers
Erik Kristiansson, examiner, course administrator, lecturer
Juan Salvador Inda Diaz, computer exercise assistant
David Lund, computer exercise assistant
Student representatives
Leo Benson
Edwin Eliasson
Louise Stauber Näslund
Hannah Steinhausen
Chattarin Wangwittaya
Course aims, plan and schedule
Course plan (updated 2020-12-01)
Lectures
All handwritten lecture notes can be found here.
Computer exercises
Help list can be found here
Exercise | Date | Time | Zoom link | Password |
Computer exercise | Tuesday, November 3 | 15.15-17.00 | https://chalmers.zoom.us/j/63506798878 | 010101 |
Computer exercise | Wednesday, November 4 | 13.15-17.00 | https://chalmers.zoom.us/j/63562517993 | 010101 |
Computer exercise | Tuesday, November 10 | 15.15-17.00 | https://chalmers.zoom.us/j/63594048194 | 010101 |
Computer exercise | Wednesday, November 11 | 13.15-17.00 | https://chalmers.zoom.us/j/69558888053 | 010101 |
Computer exercise | Tuesday, November 17 | 15.15-17.00 | https://chalmers.zoom.us/j/61636804225 | 010101 |
Computer exercise | Wednesday, November 18 | 13.15-17.00 | https://chalmers.zoom.us/j/61271820044 | 010101 |
Computer exercise | Tuesday, November 24 | 15.15-17.00 | https://chalmers.zoom.us/j/69102425531 | 010101 |
Computer exercise | Wednesday, November 25 | 13.15-17.00 | https://chalmers.zoom.us/j/64210669948 | 010101 |
Computer exercise | Tuesday, December 1 | 15.15-17.00 | https://chalmers.zoom.us/j/62775822139 | 010101 |
Computer exercise | Wednesday, December 2 | 13.15-17.00 | https://chalmers.zoom.us/j/69156274202 | 010101 |
Computer exercise | Tuesday, December 8 | 15.15-17.00 | https://chalmers.zoom.us/j/66248034699 | 010101 |
Computer exercise | Wednesday, December 9 | 13.15-17.00 | https://chalmers.zoom.us/j/65152810536 | 010101 |
Computer exercise | Tuesday, December 15 | 15.15-17.00 | https://chalmers.zoom.us/j/62179890042 | 010101 |
Computer exercise | Wednesday, December 16 | 13.15-17.00 | https://chalmers.zoom.us/j/68030958579 | 010101 |
Course material
Please refer to the course plan for lecture-by-lecture reading instructions.
Lecture notes
- Lecture 1 (updated 2020-11-03)
- Lecture 2 (updated 2020-11-06)
- Lecture 3
- Lecture 4
- Lecture 5
- Lecture 6
- Lecture 7 (updated 2020-12-01)
- Lecture 8, Notes on linear models
- Lecture 9 (updated 2020-12-08)
- Lecture 10 (updated 2020-12-08)
- Lecture 11
- Lecture 12, Slides from AstraZeneca
- Lecture 13 (updated 2020-12-09)
- Lecture 14 (updated 2020-12-18)
Papers
The following scientific papers are a part of the literature of this course.
- Lecture 2: Ten years of next-generation sequencing technology, van Dijk EL, Auger H, Jaszczyszyn Y, and Thermes C. Trends in Genetics, 30(10) 2014.
- Lecture 4: A beginner's guide to SNP calling from high-throughput DNA-sequencing data, Altmann A, Weber P, Bader D, Preuss M, Binder EB, and Müller-Myhsok B. Human Genetics, 131(10) 2012.
Lecture 5 and 6: Mapping reads on a genomic sequence: an algorithmic overview and a practical comparative analysis. Schbath S, Martin V, Zytnicki M, Fayolle J, Loux V, and Gibrat JF. Journal of Computational Biology, 19(6) 2012. - Lecture 7 and 8: Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis, Finotello F and Di Camillo F. Briefings in Functional Genomics, 14(2) 2014.
- Lecture 9: Clustering. Naomi Altman and Martin Krzywinski. Nature Methods, 14(6) 2017.
- Lecture 9: Principal component analysis. Jake Lever, Martin Krzywinski, and Naomi Altman. Nature Methods, 14(7) 2017.
- Lecture 11: Integrative analysis of omics data, Österlund T, Cvijovic M, and Kristiansson E. Systems Biology, 6(1) 2017.
- Lecture 11-12: The road to metagenomics: from microbiology to DNA sequencing technologies and bioinformatics, Escobar-Zepeda A, de León AVP, and Sanchez-Flores A. Frontiers in Genetics, 6 2015.
Extra exercises
Optional course book
Xinkun Wang, Next-Generation Sequencing Data Analysis, CRC Press, ISBN 9781482217889. The course covers chapters 2-5, 7-9, and 13.
Computer exercises
The course contains four compulsory computer exercises. Computer exercise 1 is examined at the scheduled exercise. Computer exercise 2, 3 and 4 should be handed in as written reports. The computer exercises should be made in groups of maximum two persons.
Software you need to install if you work from your own computer
- RStudio (https://rstudio.com/) or R (https://www.r-project.org/)
- IGV (http://software.broadinstitute.org/software/igv/)
Note that you can connect to the computers at Chalmers from remote. Please refer to https://it.portal.chalmers.se/itportal/Faq/RemoteAccess?setlang=en for full details. All software should be avilable for the computers in SalA as well as the computer rooms in the Chemistry and Math building.
Guidelines for writing and submitting reports
The reports submitted as a group (of maximum two persons) through the Canvas course page. The report should be either in PDF or WORD-format. All of the code necessary should be included in the end of the report as an Appendix. Please double check that the sumibbted code works as intended. Don't forget to add the names and Swedish social security number for all persons in the group at the front page. You only need to submit one report per group.
The reports should contain answers to all the questions posed in the exercise sheet. The answers should almost always have some motivation, meaning that even though the question could be answered with a yes or a no, we require a motivation why. Example question: "Do you see any differences?" Describe the observed differences (if the answer is yes), and not only a yes or a no. When you have been asked to generate a figure, this figure should be included in the report. The reports do not need an introduction, method, results, or discussion section, but should include some information about what has been done. Example: “When doing the quality assessment using fastqc, we saw that…”.
Good luck!
Exam
- 14 January 2020
Previous exams
- April 6, 2018
- August 29, 2018
- January 17, 2019, solutions
- April 26, 2019
- August 28, 2019, solutions
- January 16, 2020, solutions
- April 8, 2020
Examination
This course is examined based on,
- Written exam: 08:30 on January 14, 2020. This gives you 5 hp and determines your grade in the course.
- Four compulsory computer exercises. When you have passed all four of them you earn 2.5 hp.
Course summary:
Date | Details | Due |
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